Processing Big Data with Azure HDInsight

Building Real-World Big Data Systems on Azure HDInsight Using the Hadoop Ecosystem
1. Auflage 2017
ISBN: 978-1-4842-2868-5
Verlag: Apress

Buch, Englisch, 207 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 3577 g

Get a jump start on using Azure HDInsight and Hadoop Ecosystem components. As most Hadoop and Big Data projects are written in either Java, Scala, or Python, this book minimizes the effort to learn another language and is written from the perspective of a .NET developer. Hadoop components are covered, including Hive, Pig, HBase, Storm, and Spark on Azure HDInsight, and code samples are written in .NET only.

Processing Big Data with Azure HDInsight covers the fundamentals of big data, how businesses are using it to their advantage, and how Azure HDInsight fits into the big data world. This book introduces Hadoop and big data concepts and then dives into creating different solutions with HDInsight and the Hadoop Ecosystem. It covers concepts with real-world scenarios and code examples, making sure you get hands-on experience. The best way to utilize this book is to practice while reading. After reading this book you will be familiar with Azure HDInsight and how it can be utilized to build big data solutions, including batch processing, stream analytics, interactive processing, and storing and retrieving data in an efficient manner.

What You'll Learn

• Understand the fundamentals of HDInsight and Hadoop
  
• Work with HDInsight cluster
  
• Query with Apache Hive and Apache Pig
• Store and retrieve data with Apache HBase
• Stream data processing using Apache Storm
• Work with Apache Spark

Who This Book Is For

Software developers, technical architects, data scientists/analyts, and Hadoop administrators who want to develop on Microsoft’s managed Hadoop offering, HDInsight

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Yadav, Vinit

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Verteilte Datenbanken
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Microsoft Programmierung .NET Programmierung

Inhaltsverzeichnis

Chapter 1: Big Data, Hadoop, and HDInsight.- Chapter 2: Provisioning HDInsight Cluster.- Chapter 3: Working with Data in HDInsight.- Chapter 4: Querying Data with Hive.- Chapter 5: Using Pig with HDInsight.- Chapter 6: Working with HBase.- Chapter 7: Real-Time Analytics with Storm.- Chapter 8: Exploring Data with Spark.

Über Autor(innen)

Vinit Yadav is Founder and CEO of Veloxcore. He started working with Azure when it first came out in 2010, and since then he has been continuously involved in designing solutions around the Microsoft Azure platform. At Veloxcore, he continues to build and deliver highly scalable big data solutions. He is also a machine learning and data science enthusiastic, passionate programmer, and has over 12 years of experience in designing and developing enterprise applications using various .NET technologies.
Vinit founded Veloxcore to help organizations leverage big data and machine learning. He and his team at Veloxcore are actively engaged in developing software solutions for their global customers using agile methodologies. On a side note, he likes to travel, read, and watch sci-fi content and loves to draw, paint, and create something new.